The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context

To date, most transcriptome studies of schizophrenia focus on the analysis of protein-coding genes. Long noncoding RNAs (lncRNAs) are emerging as key tissue-specific regulators of cellular and disease processes. The amygdala brain region has been implicated in the pathophysiology of schizophrenia. W...

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Main Authors: Tian Tian, Zhi Wei, Xiao Chang, Yichuan Liu, Raquel E. Gur, Patrick M.A. Sleiman, Hakon Hakonarson
Format: Article
Language:English
Published: Elsevier 2018-08-01
Series:EBioMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396418302652
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author Tian Tian
Zhi Wei
Xiao Chang
Yichuan Liu
Raquel E. Gur
Patrick M.A. Sleiman
Hakon Hakonarson
author_facet Tian Tian
Zhi Wei
Xiao Chang
Yichuan Liu
Raquel E. Gur
Patrick M.A. Sleiman
Hakon Hakonarson
author_sort Tian Tian
collection DOAJ
description To date, most transcriptome studies of schizophrenia focus on the analysis of protein-coding genes. Long noncoding RNAs (lncRNAs) are emerging as key tissue-specific regulators of cellular and disease processes. The amygdala brain region has been implicated in the pathophysiology of schizophrenia. We performed unbiased whole transcriptome profiling of amygdala tissues from 22 schizophrenia patients and 24 non-psychiatric controls using RNA-seq. We reconstructed amygdala transcriptome and employed systems biology approaches to annotating the functional roles of lncRNAs. As a result, we identified 839 novel lncRNAs in amygdala. We found in amygdala lncRNAs are more subtype-specific than protein-coding genes. We identified functional modules associated with “synaptic transmission”, “ribosome”, and “immune responses” which were related to schizophrenia pathophysiology that involved lncRNAs. Integrative functional analyses associating individual lncRNAs with specific pathways and functions further show that amygdala lncRNAs are connected with all of these pathways. Our study presents the first systematic landscape of lncRNAs in amygdala tissue from schizophrenia cases. Keywords: Schizophrenia, Next-generation sequencing, Transcriptome, Systems biology
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spelling doaj.art-990f3ca24d334f3686abcfe6a8e3ef4b2022-12-22T03:48:49ZengElsevierEBioMedicine2352-39642018-08-0134171181The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in ContextTian Tian0Zhi Wei1Xiao Chang2Yichuan Liu3Raquel E. Gur4Patrick M.A. Sleiman5Hakon Hakonarson6Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USADepartment of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA; Corresponding author at: Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USACenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USANeuropsychiatry Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USACenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USACenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Correspondence to: Hakon Hakonarson Center for Applied Genomics, The Children's Hospital of Philadelphia, 3615 Civic Center Blvd, Abramson Building, Philadelphia, Pennsylvania 19104, USA.To date, most transcriptome studies of schizophrenia focus on the analysis of protein-coding genes. Long noncoding RNAs (lncRNAs) are emerging as key tissue-specific regulators of cellular and disease processes. The amygdala brain region has been implicated in the pathophysiology of schizophrenia. We performed unbiased whole transcriptome profiling of amygdala tissues from 22 schizophrenia patients and 24 non-psychiatric controls using RNA-seq. We reconstructed amygdala transcriptome and employed systems biology approaches to annotating the functional roles of lncRNAs. As a result, we identified 839 novel lncRNAs in amygdala. We found in amygdala lncRNAs are more subtype-specific than protein-coding genes. We identified functional modules associated with “synaptic transmission”, “ribosome”, and “immune responses” which were related to schizophrenia pathophysiology that involved lncRNAs. Integrative functional analyses associating individual lncRNAs with specific pathways and functions further show that amygdala lncRNAs are connected with all of these pathways. Our study presents the first systematic landscape of lncRNAs in amygdala tissue from schizophrenia cases. Keywords: Schizophrenia, Next-generation sequencing, Transcriptome, Systems biologyhttp://www.sciencedirect.com/science/article/pii/S2352396418302652
spellingShingle Tian Tian
Zhi Wei
Xiao Chang
Yichuan Liu
Raquel E. Gur
Patrick M.A. Sleiman
Hakon Hakonarson
The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
EBioMedicine
title The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
title_full The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
title_fullStr The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
title_full_unstemmed The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
title_short The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia PatientsResearch in Context
title_sort long noncoding rna landscape in amygdala tissues from schizophrenia patientsresearch in context
url http://www.sciencedirect.com/science/article/pii/S2352396418302652
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